Package: grmsem 1.1.0

grmsem: Genetic-Relationship-Matrix Structural Equation Modelling (GRMSEM)

Quantitative genetics tool supporting the modelling of multivariate genetic variance structures in quantitative data. It allows fitting different models through multivariate genetic-relationship-matrix (GRM) structural equation modelling (SEM) in unrelated individuals, using a maximum likelihood approach. Specifically, it combines genome-wide genotyping information, as captured by GRMs, with twin-research-based SEM techniques, St Pourcain et al. (2017) <doi:10.1016/j.biopsych.2017.09.020>, Shapland et al. (2020) <doi:10.1101/2020.08.14.251199>.

Authors:Beate StPourcain [aut, cre], Alexander Klassmann [ctb]

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grmsem.pdf |grmsem.html✨
grmsem/json (API)

# Install 'grmsem' in R:
install.packages('grmsem', repos = c('https://bstpourcain.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • G.small - Symmetric GRM data: small data set
  • fit.large - Prefitted model: large data set
  • ph.large - Phenotype data: large data set
  • ph.small - Phenotype data: small data set

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 1 scripts 121 downloads 7 exports 20 dependencies

Last updated 4 years agofrom:c9847e92ea. Checks:1 OK, 8 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 19 2025
R-4.5-winWARNINGMar 19 2025
R-4.5-macWARNINGMar 19 2025
R-4.5-linuxWARNINGMar 19 2025
R-4.4-winWARNINGMar 19 2025
R-4.4-macWARNINGMar 19 2025
R-4.4-linuxWARNINGMar 19 2025
R-4.3-winWARNINGMar 19 2025
R-4.3-macWARNINGMar 19 2025

Exports:grm.bin.inputgrm.inputgrmsem.bihergrmsem.fcohergrmsem.fitgrmsem.stpargrmsem.var

Dependencies:cliexpmfansigenericsgluelatticelifecyclemagrittrMatrixmsmmvtnormnumDerivoptimParallelpillarpkgconfigrlangsurvivaltibbleutf8vctrs

Vignette for package grmsem

Beate St Pourcain and Alexander Klassmann

Rendered fromgrmsem.Rmdusingknitr::rmarkdownon Mar 19 2025.

Last update: 2021-01-29
Started: 2021-01-29